\begin{table}

\caption{Regression Models: Covariate Adjusted Models for Deactivation Treatment Effects on Trust Measures. The survey data uses a seven point nominal scale measuring trust in a range of institutions and news media.  The outcome for the models uses a standardized z-score for the indicator trust measures, and the sum of the z-scores for the index. Our results do not recover any statistically significant effect of the deactivation on standard measures for trust}
\centering
\begin{threeparttable}
\begin{tabular}[t]{lcccccc}
\toprule
  & Trust Score & Trust Government & Trust Congress & Trust Electoral Authorities & Trust Globo (TV News Media) & Trust News Outlets\\
\midrule
Intercept & -0.350 & -0.155 & 0.454 & -0.652+ & -0.129 & 0.131\\
 & (1.277) & (0.417) & (0.445) & (0.392) & (0.358) & (0.384)\\
Treatment & -0.020 & -0.034 & 0.004 & -0.028 & 0.018 & 0.021\\
 & (0.210) & (0.065) & (0.068) & (0.059) & (0.054) & (0.058)\\
\midrule
Num.Obs. & 660 & 660 & 660 & 660 & 660 & 660\\
R2 & 0.440 & 0.321 & 0.261 & 0.429 & 0.509 & 0.434\\
R2 Adj. & 0.413 & 0.289 & 0.226 & 0.402 & 0.486 & 0.407\\
RMSE & 2.65 & 0.83 & 0.85 & 0.76 & 0.70 & 0.75\\
\bottomrule
\multicolumn{7}{l}{\rule{0pt}{1em}+ p $<$ 0.1, * p $<$ 0.05, ** p $<$ 0.01, *** p $<$ 0.001}\\
\end{tabular}
\begin{tablenotes}
\item \textit{Note: } 
\item Robust standard errors in Parentheses
\end{tablenotes}
\end{threeparttable}
\end{table}
